User Experience + Artificial Intelligence
This open access book addresses the thriving trend of embedding artificial intelligence (AI) and machine learning (ML) capabilities in products and services reaching the lay public, focusing on the user experience (UX) they prompt from a designerly perspective. It offers a UX evaluation method desig...
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| Main Authors: | , , |
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| 格式: | Online |
| 語言: | 英语 |
| 出版: |
Springer Nature
2025
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| 主題: | |
| 在線閱讀: | ONIX_20250213_9783031775215_17 |
| 標簽: |
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| _version_ | 1869515397894504448 |
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| author | Spallazzo, Davide Sciannamè, Martina Ceconello, Mauro |
| author_browse | Ceconello, Mauro Sciannamè, Martina Spallazzo, Davide |
| author_facet | Spallazzo, Davide Sciannamè, Martina Ceconello, Mauro |
| author_sort | Spallazzo, Davide |
| collection | Directory of Open Access Books |
| description | This open access book addresses the thriving trend of embedding artificial intelligence (AI) and machine learning (ML) capabilities in products and services reaching the lay public, focusing on the user experience (UX) they prompt from a designerly perspective. It offers a UX evaluation method designed explicitly for AI-infused systems to answer one of the core problems affecting the relationship and interactions people have with such artefacts. The work investigates how people perceive and make sense of systems integrating AI capabilities, trying to understand how their meaning and significance can affect the experience of such products and what design challenges may arise. Given the fundamental premise that current UX methods cannot address AI-infused artefacts, it introduces the results of Meet-AI, a research project exploring specific ways to tackle these problems. The book then presents a comprehensive analysis of current UX methods, and a literature review focused on detecting possible gaps and the most suitable qualities to describe AI-infused systems, and summarizes the findings from all previous investigations into a UX evaluation scale: AIXE (AI user eXperience Evaluation). The book also portrays how the tool has been validated and expanded to become a more comprehensive method. It further describes how the scale has been applied to a comparative study of domestic smart speakers, and introduces a reversed interpretation of the outcomes, framing them as heuristics to inform the early phases of the design process and paving the way for future experimentations in the meta-design dimension. |
| format | Online |
| id | doab-20.500.12854ir-152060 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1520602025-07-21T15:44:45Z User Experience + Artificial Intelligence Spallazzo, Davide Sciannamè, Martina Ceconello, Mauro UX assessment User Experience AI-infused Systems machine learning capabilities AIXE UX evaluation method person artefact interactions thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJD Business innovation thema EDItEUR::A The Arts::AK Design, Industrial and commercial arts, illustration thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJD Business innovation thema EDItEUR::A The Arts::AK Design, Industrial and commercial arts, illustration This open access book addresses the thriving trend of embedding artificial intelligence (AI) and machine learning (ML) capabilities in products and services reaching the lay public, focusing on the user experience (UX) they prompt from a designerly perspective. It offers a UX evaluation method designed explicitly for AI-infused systems to answer one of the core problems affecting the relationship and interactions people have with such artefacts. The work investigates how people perceive and make sense of systems integrating AI capabilities, trying to understand how their meaning and significance can affect the experience of such products and what design challenges may arise. Given the fundamental premise that current UX methods cannot address AI-infused artefacts, it introduces the results of Meet-AI, a research project exploring specific ways to tackle these problems. The book then presents a comprehensive analysis of current UX methods, and a literature review focused on detecting possible gaps and the most suitable qualities to describe AI-infused systems, and summarizes the findings from all previous investigations into a UX evaluation scale: AIXE (AI user eXperience Evaluation). The book also portrays how the tool has been validated and expanded to become a more comprehensive method. It further describes how the scale has been applied to a comparative study of domestic smart speakers, and introduces a reversed interpretation of the outcomes, framing them as heuristics to inform the early phases of the design process and paving the way for future experimentations in the meta-design dimension. 2025-02-17T05:51:54Z 2025-02-17T05:51:54Z 2025-02-13T10:56:28Z 2025 book ONIX_20250213_9783031775215_17 https://library.oapen.org/handle/20.500.12657/98570 9783031775215 9783031775208 https://directory.doabooks.org/handle/20.500.12854/152060 eng SpringerBriefs in Applied Sciences and Technology; PoliMI SpringerBriefs open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/98570/1/9783031775215.pdf Springer Nature Springer Nature Switzerland 10.1007/978-3-031-77521-5 10.1007/978-3-031-77521-5 9fa3421d-f917-4153-b9ab-fc337c396b5a b33d6fe3-e99f-4950-ac73-d8d2fbad6b15 73932363-51a2-490c-8524-6d629aa6faac 9783031775215 9783031775208 Springer Nature Switzerland 107 Cham [...] Politecnico di Milano 10.13039/501100006690 open access |
| spellingShingle | UX assessment User Experience AI-infused Systems machine learning capabilities AIXE UX evaluation method person artefact interactions thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJD Business innovation thema EDItEUR::A The Arts::AK Design, Industrial and commercial arts, illustration thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJD Business innovation thema EDItEUR::A The Arts::AK Design, Industrial and commercial arts, illustration Spallazzo, Davide Sciannamè, Martina Ceconello, Mauro User Experience + Artificial Intelligence |
| title | User Experience + Artificial Intelligence |
| title_full | User Experience + Artificial Intelligence |
| title_fullStr | User Experience + Artificial Intelligence |
| title_full_unstemmed | User Experience + Artificial Intelligence |
| title_short | User Experience + Artificial Intelligence |
| title_sort | user experience artificial intelligence |
| topic | UX assessment User Experience AI-infused Systems machine learning capabilities AIXE UX evaluation method person artefact interactions thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJD Business innovation thema EDItEUR::A The Arts::AK Design, Industrial and commercial arts, illustration thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJD Business innovation thema EDItEUR::A The Arts::AK Design, Industrial and commercial arts, illustration |
| topic_facet | UX assessment User Experience AI-infused Systems machine learning capabilities AIXE UX evaluation method person artefact interactions thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJD Business innovation thema EDItEUR::A The Arts::AK Design, Industrial and commercial arts, illustration thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJD Business innovation thema EDItEUR::A The Arts::AK Design, Industrial and commercial arts, illustration |
| url | ONIX_20250213_9783031775215_17 |
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